Softwr

Database & Data Management · head to head

Convex vs Apache Druid

C

Convex

Database & Data Management

The reactive backend platform that keeps up with you and your agents

From
On request
Rated
-
Apache Druid logo

Apache Druid

Database & Data Management

Real-time analytics database for sub-second OLAP queries

From
Free
Rated
-

The short version

  • Only Apache Druid has a free tier, so it costs nothing to try first.
  • Each has a real cost: Convex the Free and Starter tier includes only 1 million function calls and 0.5 GB of database storage per month before per-unit overage charges of $2.20 per million calls apply, as of August 2026.; Apache Druid open-source offering lacks high-availability, distributed architecture, and enterprise security features

Where they differ

Only the attributes on which Convex and Apache Druid actually diverge.

Attributes where Convex and Apache Druid differ
AttributeConvexApache Druid
Starting priceOn requestFree
Pricing modelusage-basedopen-source
Free tierNoYes
PlatformsWebDocker, Kubernetes, Native deployment (Java-based)
FoundedUnknown1999

Identical on both: user rating (Not yet rated), category (Database & Data Management).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Convex

Nothing recorded that Apache Druid does not also cover.

Only in Apache Druid

  • Real-time Ingestion
  • Sub-second Queries
  • Column-oriented Storage
  • Streaming Integration
  • Approximate Algorithms
  • Flexible Schemas
  • Time-based Partitioning
  • Kafka

What people use each for

The jobs each tool is most often brought in to do.

Convex

No use cases recorded yet. See the Convex review.

Apache Druid

  • Real-time analytics platforms ingesting millions of events per second from streaming sourcesnot Convex
  • Applications requiring sub-second queries over high-cardinality datasets (billions to trillions of rows)not Convex
  • Time-series and event analysis at massive scale with columnar storage efficiencynot Convex

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Convex

  • The Free and Starter tier includes only 1 million function calls and 0.5 GB of database storage per month before per-unit overage charges of $2.20 per million calls apply, as of August 2026.

Apache Druid

  • Open-source offering lacks high-availability, distributed architecture, and enterprise security features
  • Requires native integration with Apache Kafka or Amazon Kinesis for real-time ingestion; custom integrations need development
  • High-concurrency query support (hundreds of thousands QPS) requires significant cluster infrastructure investment

Pricing, plan by plan

Convex

On request

No published plan breakdown. See the Convex review.

Apache Druid

Free

No published plan breakdown. See the Apache Druid review.

Which should you pick?

Choose Convex if

Nothing in the data separates Convex from Apache Druid on the points above - pick on price and on how each one feels to use.

Choose Apache Druid if

  • You need real-time ingestion.
  • You want to start without paying.
  • You work on Docker, Kubernetes, Native deployment (Java-based).
  • You also want sub-second queries.

Questions people ask

Is Convex or Apache Druid better?
Neither clearly leads. Convex starts at On request and Apache Druid at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Convex or Apache Druid?
Apache Druid has a free tier; the other does not. Paid plans start at On request for Convex and Free for Apache Druid.
Does Convex or Apache Druid run on more platforms?
Convex runs on Web. Apache Druid runs on Docker, Kubernetes, Native deployment (Java-based).
Can I use Apache Druid for free?
Yes. Apache Druid has a free tier, so you can try it without paying. Convex starts at On request.
What can Convex do that Apache Druid cannot?
Apache Druid covers Real-time Ingestion, Sub-second Queries, Column-oriented Storage, Streaming Integration.

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